| 基于BP神经网络的边坡稳定性分析 |
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| 引用本文： | 郭钟群,余金勇,彭道强,吴广.基于BP神经网络的边坡稳定性分析[J].铜业工程,2013(6):30-33. |
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| 作者姓名： | 郭钟群 余金勇 彭道强 吴广 |
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| 作者单位： | [1]江西理工大学,江西赣州341000 [2]江西铜业集团公司德兴铜矿,江西德兴334224 [3]深圳天华建筑设计有限公司,广东深圳518040 |
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| 基金项目： | 国家自然科学基金资助项目（50464002）;江西省教育厅青年科学基金资助项目（GJJ09518）;江西理工大学科研基金资助项目（项目编号：jxxj12021） |
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| 摘 要： | 阐述了BP神经网络的基本思想、学习算法的步骤,以构建的学习样本为基础,建立边坡稳定性分析的BP神经网络模型,对学习样本进行归一化和训练,建立输入向量与输出向量的非线性关系,把训练好的网络运用于某露天矿边坡,结果表明：BP神经网训练结果与现场实际情况相符,说明该方法对工程实际有指导意义.
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| 关 键 词： | 边坡 稳定性 影响因素 BP神经网络 安全系数 |
The Stability Analysis on the BP Neural Network of Rock Slope |
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| GUO Zhong - qun,YU Jin - yong,PENG Dao - qiang,WU Guang.The Stability Analysis on the BP Neural Network of Rock Slope[J].Copper Engineering,2013(6):30-33. |
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| Authors: | GUO Zhong - qun YU Jin - yong PENG Dao - qiang WU Guang |
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| Affiliation: | 1. Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China; 2. JCC Dexing Copper Mine, Dexing, Jiangxi 334224, China; 3. Shenzhen Tianhua Architects ＆ Engineers Co. ,Ltd, Shenzhen, Guangdong 518040, C} |
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| Abstract: | Abstract： This paper expounds the basic thought of BP neural networks and the steps of learning algorithm, and constructs the learning samples and establishes a BP neural network model of learning samples based on the analysis of slope stability. Then we can establish the nonlinear relation between input vector and output vector on normalization and training, and the trained network is used in one slope. The results show that BP neural network training results coqlorm to the actual condition, and illustrate the method is signifi- cant to the practical engineering. |
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| Keywords: | slope stability influencing faclors BP neural nelwork satety factor |
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